MLT and Ph.D. Course Information

This page explains various LTI course categories. First, we explain the numbering for undergraduate and masters-level courses. Then we list all the courses that count toward each of the four PhD "focus areas" (the focus areas are only relevant for LTI PhD students). Following the focus area courses, we list and explain the various independent study course numbers.

This list includes several courses from outside of the LTI that count as LTI focus area classes (as opposed to electives). Further information about these courses is available on the web pages of the departments that offer them.

Depending on a student's interests, electives may be taken from the LTI, other departments in the School of Computer Science, or other departments at Carnegie Mellon or the University of Pittsburgh. Students interested in speech should consider speech-oriented electives; other areas of interest include linguistics, statistics, and human-computer interaction (HCI).

Masters-Only Courses: Masters-only courses are numbered 11-6xx, and do not count for PhD graduation credit.

>

Linguistic Focus

Course

Title

Units

Semester

11-719

Computational Models of Discourse Analysis

12

Spring

11-721

Grammars and Lexicons

12

Fall

11-722

Grammar Formalisms

12

Spring

11-723

Formal Semantics

12

Fall

11-725

Meaning in Language

12

Fall

11-727

Computational Semantics for NLP

12

Spring

Computer Science Focus

Course

Title

Units

Semester

11-711

Algorithms for NLP

12

Fall

11-791

Software Engineering for IT, Principles (I)

12

Fall

10-60110-701

Machine Learning (can only count under one focus per student) - LTI PhD students must register for 10-701 for it to count towards their required 8 courses. LTI Masters students should register for 10-601.

15-750

Algorithms

15-780

Artificial Intelligence

Statistical/Learning Focus

Course

Title

Units

Semester

11-761

Language and Statistics

12

Spring

11-762

Language and Statistics II

12

Fall

10-60110-701

Machine Learning (can only count under one focus per student) - LTI PhD students must register for 10-701 for it to count towards their required 8 courses. LTI Masters students should register for 10-601.

15-883

Computational Models of Neural Systems

Task Orientation Focus

Course

Title

Units

Semester

10-605

Machine Learning with Large Datasets

12

Spring

10-805

Machine Learning with Large Datasets

12

Spring

11-64111-741

Machine Learning for Text Mining

12

Spring

11-642

Search Engines

12

Spring

11-731

Machine Translation

12

Spring

11-643

Scalable Analytics

12

All

11-731

Machine Translation

12

Spring

11-741

Information Retrieval

12

Spring

11-748

Information Extraction

12

Spring

11-751

Speech Recognition

12

Fall

11-752

Speech: PPPS

12

Spring

11-756

Design Implementation of Speech Recognition Systems

12

Spring

11-772

Analysis of Social Media

12

Spring

11-775

Large-Scale Multi-Media Analysis

12

Spring

11-792

Intelligent Information Systems Project

12

Spring

11-797

Question Answering

12

Spring

Independent Study Numbers

Course

Title

Units

Semester

11-910

Independent Study: Project

6-36

Both

11-920

Independent Study: Breadth

6-18

Both

11-925

Independent Study: Area of Concentration

6-36

Both

11-929

Masters Thesis

6-18

Both

11-930

Dissertation Research

5-36

Both

Note that the Independent Study courses listed above do not normally count for LTI class credit. The exception is if an Independent Study is used to replace an unavailable LTI course (with prior permission of the chair of the LTI graduate programs).